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Open nowPosted 30 days ago

Data Engineer

MyCareersFuture94,028 open roles

Pay
SGD 7,500 – SGD 9,000 a month
Where
East, Singapore
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Your applicationOpen nowData EngineerMyCareersFuture · East, Singapore

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 30 days ago

The posting

Key Responsibilities

  • Design, build, and maintain reliable data pipelines and data-processing workflows.
  • Integrate data from APIs, databases, enterprise applications, cloud services, files, and other source systems.
  • Develop scalable solutions for data ingestion, transformation, storage, processing, and serving.
  • Support data platforms operating across cloud, on-premise, or hybrid environments.
  • Implement appropriate monitoring, data-quality checks, error handling, and operational controls.
  • Automate deployment and operational processes using CI/CD and Infrastructure as Code where applicable.
  • Support production systems, troubleshoot issues, and contribute to root-cause analysis and continuous improvements.
  • Work closely with application, infrastructure, platform, security, and business teams to deliver reliable data solutions.
  • Maintain relevant technical documentation, operational procedures, and engineering standards.

Requirements

  • Around 4–7 years or more of relevant experience in Data Engineering, Cloud Engineering, Platform Engineering, DevOps, SRE, or a related technical discipline.
  • Hands-on experience designing, building, or operating production-grade data solutions.
  • Experience with cloud platforms such as AWS and/or Azure.
  • Experience with some of the following areas: Python and SQL ETL / ELT and data pipelines Batch, streaming, CDC, or event-driven processing Data modelling and data quality Cloud data platforms and services Logging, monitoring, telemetry, or observability CI/CD and Infrastructure as Code Docker or containerised environments
  • Good understanding of software engineering practices, system reliability, scalability, security, and production support.
  • Strong problem-solving skills and the ability to work across technical teams.

Good to Have

  • Experience working across on-premise and cloud environments.
  • Experience with streaming or messaging technologies such as Kafka or MQ.
  • Experience with Terraform, Ansible, or equivalent automation tools.
  • Familiarity with observability or monitoring platforms such as Grafana, Prometheus, Dynatrace, Elastic, or equivalent.
  • Experience working in large-scale enterprise or Government environments.
  • AWS or Azure certifications.
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